Extraction of Underwater Acoustic Weak Signal Based on Volterra Filter

DOI

10.2991/iiicec-15.2015.342How to use a DOI?

Keywords

signal extraction; Volterra filter; one step prediction; underwater acoustics

Abstract

A new method based on Volterra filter is introduced to extract weak signal in strong chaotic noise. A nonlinear prediction model is established by combining phase space reconstruction and adaptive Volterra filter. Self-noise of ship is used for training the prediction model. The model has a good prediction performance of noise without signal, but when signal is mixed with noise, the modal mismatches and prediction error varies dramatically. The cross-correlation of extracted signal and real signal is calculated, and the similarity of waveforms is compared. It had been shown that the algorithm is powerful for regular signal extraction.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Qingxin Meng
AU  - Shie Yang
AU  - Shengchun Piao
AU  - Yiwang Huang
PY  - 2015/03
DA  - 2015/03
TI  - Extraction of Underwater Acoustic Weak Signal Based on Volterra Filter
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1547
EP  - 1552
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.342
DO  - 10.2991/iiicec-15.2015.342
ID  - Meng2015/03
ER  -